Literature DB >> 31181213

Impact of blood storage and sample handling on quality of high dimensional flow cytometric data in multicenter clinical research.

A M Diks1, C Bonroy2, C Teodosio1, R J Groenland1, B de Mooij1, E de Maertelaere3, J Neirynck3, J Philippé2, A Orfao4, J J M van Dongen5, M A Berkowska1.   

Abstract

Obtaining reliable and reproducible high quality data in multicenter clinical research settings requires design of optimal standard operating procedures. While the need for standardization in sample processing and data analysis is well-recognized, the impact of sample handling in the pre-analytical phase remains underestimated. We evaluated the impact of sample storage time (≈transport time) and temperature, type of anticoagulant, and limited blood volume on reproducibility of flow cytometric studies. EDTA and Na-Heparin samples processed with the EuroFlow bulk lysis protocol, stained and stored at 4 °C showed fairly stable expression of cell surface markers and distribution of the major leukocyte populations for up to 72 h. Additional sample fixation (1% PFA, Fix &amp; Perm) did not have any beneficial effects. Blood samples stored for <24 h at room temperature before processing and staining seemed suitable for reliable immunophenotyping, although losses in absolute cell numbers were observed. The major losses were observed in myeloid cells and monocytes, while lymphocytes seemed less affected. Expression of cell surface markers and population distribution were more stable in Na-Heparin blood than in EDTA blood. However, storage of Na-Heparin samples was associated with faster decrease in leukocyte counts over time. Whole blood fixation strategies (Cyto-Chex, TransFix) improved long-term population distribution, but were detrimental for expression of cellular markers. The main conclusions from this study on healthy donor blood samples were successfully confirmed in EDTA clinical (patient) blood samples with different time delays until processing. Finally, we recognized the need for adjustments in bulk lysis in case of insufficient blood volumes. Despite clear overall conclusions, individual markers and cell populations had different preferred conditions. Therefore, specific guidelines for sample handling should always be adjusted to the clinical application and the main target leukocyte population.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood storage; Clinical trial; Flow cytometry; Immunophenotyping; Sample fixation; kAnticoagulant

Mesh:

Year:  2019        PMID: 31181213     DOI: 10.1016/j.jim.2019.06.007

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  20 in total

1.  Alignment of practices for data harmonization across multi-center cell therapy trials: a report from the Consortium for Pediatric Cellular Immunotherapy.

Authors:  Hisham Abdel-Azim; Hema Dave; Kimberly Jordan; Stephanie Rawlings-Rhea; Annie Luong; Ashley L Wilson
Journal:  Cytotherapy       Date:  2021-10-26       Impact factor: 5.414

2.  Comparison of Whole Blood Cryopreservation Methods for Extensive Flow Cytometry Immunophenotyping.

Authors:  Valentina Serra; Valeria Orrù; Sandra Lai; Monia Lobina; Maristella Steri; Francesco Cucca; Edoardo Fiorillo
Journal:  Cells       Date:  2022-05-02       Impact factor: 7.666

3.  Absolute Quantification of Plasma Membrane Receptors Via Quantitative Flow Cytometry.

Authors:  Yingye Fang; Manasi Malik; Sarah K England; P I Imoukhuede
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Circulating stem cells and cardiovascular outcomes: from basic science to the clinic.

Authors:  Gian Paolo Fadini; Anurag Mehta; Devinder Singh Dhindsa; Benedetta Maria Bonora; Gopalkrishna Sreejit; Prabhakara Nagareddy; Arshed Ali Quyyumi
Journal:  Eur Heart J       Date:  2020-11-21       Impact factor: 29.983

5.  EuroFlow-Based Flowcytometric Diagnostic Screening and Classification of Primary Immunodeficiencies of the Lymphoid System.

Authors:  Jacques J M van Dongen; Mirjam van der Burg; Tomas Kalina; Martin Perez-Andres; Ester Mejstrikova; Marcela Vlkova; Eduardo Lopez-Granados; Marjolein Wentink; Anne-Kathrin Kienzler; Jan Philippé; Ana E Sousa; Menno C van Zelm; Elena Blanco; Alberto Orfao
Journal:  Front Immunol       Date:  2019-06-13       Impact factor: 7.561

Review 6.  The influence of fixation of biological samples on cell count and marker expression stability in flow cytometric analyses.

Authors:  Łukasz SĘdek; Jan Kulis; Łukasz SŁota; Magdalena Twardoch; Magdalena Pierzyna-ŚwitaŁa; Bartosz Perkowski; Tomasz SzczepaŃski
Journal:  Cent Eur J Immunol       Date:  2020-06-08       Impact factor: 2.085

7.  Effects of processing conditions on stability of immune analytes in human blood.

Authors:  Andres Gottfried-Blackmore; Samuel J S Rubin; Lawrence Bai; Sheun Aluko; Yujun Yang; Walter Park; Aida Habtezion
Journal:  Sci Rep       Date:  2020-10-15       Impact factor: 4.379

8.  Deciphering the complex circulating immune cell microenvironment in chronic lymphocytic leukaemia using patient similarity networks.

Authors:  Zuzana Mikulkova; Gayane Manukyan; Peter Turcsanyi; Milos Kudelka; Renata Urbanova; Jakub Savara; Eliska Ochodkova; Yvona Brychtova; Jan Molinsky; Martin Simkovic; David Starostka; Jan Novak; Ondrej Janca; Martin Dihel; Pavlina Ryznerova; Lekaa Mohammad; Tomas Papajik; Eva Kriegova
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

9.  Genome-wide study of the effect of blood collection tubes on the cell-free DNA methylome.

Authors:  Ruben Van Paemel; Andries De Koker; Christa Caggiano; Annelien Morlion; Pieter Mestdagh; Bram De Wilde; Jo Vandesompele; Katleen De Preter
Journal:  Epigenetics       Date:  2020-10-19       Impact factor: 4.528

Review 10.  A Cytometrist's Guide to Coordinating and Performing Effective COVID-19 Research.

Authors:  Pratip K Chattopadhyay; Andrew Filby; Evan R Jellison; Guido Ferrari; Cherie Green; Sindhu Cherian; Jonathan Irish; Virginia Litwin
Journal:  Cytometry A       Date:  2020-09-08       Impact factor: 4.714

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